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Statistician (Data Scientist), GS-1530-13, Census-DE-KJG

Department of Commerce
U.S. Census Bureau
This job announcement has closed

Summary

This vacancy is for multiple Statistician (Data Scientist) positions located within any Directorate at the U.S. Census Bureau Headquarters in Suitland, Maryland. The Census Bureau is accessible from the Metro Rail Green Line-Suitland Station.

This Job Opportunity Announcement may be used to fill other Statistician (Data Scientist), GS-1530-13, FPL-13 positions within the Census Bureau in the same geographical location with the same qualifications and specialized experience.

Overview

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Reviewing applications
Open date: 12/17/2020
Closed date: 01/04/2021
Location
Few vacancies in the following location:
Work site options
Telework eligible
Yes—as determined by the agency policy.
Relocation expenses reimbursed
Yes—Relocation expenses may be paid.
Salary
$102,663 - $133,465 per year
Pay scale & grade
GS 13
Promotion potential
13
Pay scale and grade determines the salary of the job.
Work schedule
Full-time - Competitive Service
Travel Required
Occasional travel - Occasional travel may be required.
Appointment type
Permanent - Full Time
Occupations and job series
Supervisory status
No
Federal service type
This job is in the Competitive Service
Drug test
No
Security clearance
Other
Position sensitivity and risk
Non-sensitive (NS)/Low Risk
Jobs require a background check and some require a security clearance. The type depends on the job.
Background check type
Announcement number
BOC-2021-0141
Control number
587405800

This job is open to

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Clarification from the agency

All qualified United States citizens.

Duties

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  • Plan, initiate, and direct continued programs in data science topics. Projects will include advanced scientific, statistical, and predictive techniques.
  • Collect, sources, processes and cleans data. Write and execute program code to perform complex processes, interpret and analyze results, and uses data visualization to communicate insights and outcomes to stakeholders.
  • Define data requirements and integration of enabling technologies to collect, extract, engineer, and transform data from traditional and non-traditional sources.
  • Identify opportunities to incorporate the latest technology or techniques and to minimize potential negative impact on current projects.
  • Identify and use a wide variety of internal and external data sources and collaborates with Census Bureau directorates and external parties to identify and address potential barriers associated with accessing, analyzing, and using the data.

Requirements

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Conditions of employment

  • U.S. citizen.
  • Suitable for Federal employment.
  • Registered for Selective Service if applicable. (www.sss.gov)
  • You may be required to complete a financial disclosure (OGE-450).

Applicants must meet all qualification requirements by the closing date of this announcement. THE CLOSING DATE OF THIS VACANCY HAS BEEEN EXTENDED UNTIL MONDAY, JANUARY 4, 2021.

This vacancy is advertised under 2 different announcements.  Please read the 'Who May Apply' section carefully to determine your eligibility.  If you are not eligible under this announcement, please see BOC-2021-0137, Statistician (Data Scientist), GS-1530-13, CENSUS-MP-KJG.

A probationary period may be required.

This position is ELIGIBLE for telework; additional criteria will be required (e.g., supervisory approval).

This is a BARGAINING unit position.

Recruitment incentives may be offered.

Relocation expenses may be paid.

Due to the COVID-19 pandemic, and individual states being in different phases of reopening, once the selectee becomes an employee, the report date to the official duty station/facility may be delayed until such time that management notifies the employee of their requirement to report.  Until it is safe to relocate, the employee may be approved to telework to the maximum extent possible, up to and including full-time.

Qualifications

Minimum Education Requirement:

  1. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.

    OR

  2. Combination of education and experience -- courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.

AND

Specialized Experience:

For the GS-13, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Experience for this position includes planning, conducting, and reviewing analyses using techniques such as regression analysis, statistical analysis, modeling, mathematical programming, and machine learning; interpreting and analyzing results from data collected using statistical programming languages and/or software (such as Python, R, SAS, and Stata); using data visualization software such as Tableau, Qlikview, ArcGIS, MATLAB; incorporating a variety of data sources to identify and address potential issues related to accessing, analyzing and using data; using advanced data science technologies and techniques to collect, extract, guide, clean, and transform data; writing reports or publications and conducting presentations; collaborating and communicating with individuals within the scientific community; facilitating work across teams.

Education: Education cannot be substituted for experience at this grade level.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Additional information

The following links provide information on various hiring authorities that do not fall under competitive examining procedures; however, they may enable you to apply through merit assignment procedures, or be eligible for a non-competitive appointment.

The Department of Commerce provides reasonable accommodations to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please notify the Human Resources Office. The decision on granting reasonable accommodation will be on a case-by-case basis. TTY users can contact the Human Resources Office via the Federal Relay Service, 1-800-877-8339.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

Your resume, optional cover letter and supporting documentation will be reviewed to determine if you meet the minimum qualifications for the position. If you meet the minimum qualifications stated in the job opportunity announcement, we will compare your resume, optional cover letter and supporting documentation to your responses on the scored occupational questionnaire (True/False, Yes/No, Multiple Choice questions) and place you in one of three pre-defined categories. These categories are "gold," "silver," and "bronze." Your resume and/or optional cover letter must support your responses to the scored occupational questionnaire, or your score may be lowered. Candidates placed in the "gold" category will be identified for referral to the hiring manager and may be invited for an interview.

How you will be evaluated for preference eligibility:  Within each category, those entitled to veterans' preference will be listed at the top of the pre-defined category for which they are placed.

The scored occupational questionnaire will evaluate you on the following competencies; please do not provide a separate written response:

  • Knowledge of the theories, techniques, and methods of data science to gather, analyze, and support scientific and statistical information.

  • Skill in using data visualization software such as Tableau, Qlikview, ArcGIS, MATLAB, etc. to communicate findings to stakeholders. Skill in writing program code for statistical software such as SAS, Python, R, etc.
  • Knowledge of data science techniques to collect, extract, engineer, and transform data.

  • Skill in applying data science topics to incorporate innovative technologies and techniques. Ability to determine efficiencies or solutions to problems.

  • Ability to collaborate and communicate across the agency to implement data science solutions and accomplish specific goals.

For more information on category rating, please go to: https://www.opm.gov/policy-data-oversight/hiring-information/competitive-hiring/#url=Category-Rating.

We recommend that you preview the online questions for this announcement before you start the application process.

Do NOT include the following types of information in your application:

  • Social Security Number (SSN)
  • Date of Birth (DOB)
  • Photos of yourself (if included on your resume you will not be considered for this position)
  • Personal information: such as age, gender, religious affiliation, etc.

To preview questions please click here.

U.S. Census Bureau

The U.S. Census Bureau serves as the nation’s leading provider of quality data about its people and economy. We are guided on this mission by scientific objectivity, strong capable workforce, devotion to research-based innovation, and abiding commitment. We offer competitive salaries, flexible hours/work arrangements, developmental opportunities, a variety of benefits/health insurance plans, and incentives. If working in an environment that values your individuality, diversity and allows you to achieve your professional goals appeals to you, then the U.S. Census Bureau is the place for you.

Agency contact information

Karen Gross
Phone
301-763-3082
Fax
000-000-0000
Email
karen.j.gross@census.gov
Address
BUREAU OF THE CENSUS
4600 Silver Hill Road
Room 2K038D
Attn-Human Resources
Washington, Alabama 20233
United States

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